Investigating Causal Relations Between Circulating Metabolites and Alzheimer’s Disease: A Mendelian Randomization Study

Article type: Research Article

Authors: Huang, Shu-Yi^a | Yang, Yu-Xiang^a | Zhang, Ya-Ru^a | Kuo, Kevin^a | Li, Hong-Qi^a | Shen, Xue-Ning^a | Chen, Shi-Dong^a | Chen, Ke-Liang^a | Dong, Qiang^a | Tan, Lan^{b; *} | Yu, Jin-Tai^{a; *}

Affiliations: [a] Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, China | [b] Department of Neurology, Qingdao Municipal Hospital, Qingdao University, China

Correspondence: [*] Correspondence to: Prof. Jin-Tai Yu, MD, PhD, Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, 12th Wulumuqi Zhong Road, Shanghai 200040, China. Tel.: +86 21 52888160; Fax: +86 21 62483421; E-mail: [email protected] and Prof. Lan Tan, MD, PhD, Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao 266071, China. E-mail: [email protected].

Abstract: Background:Metabolomics is a promising approach that can be used to understand pathophysiological pathways of Alzheimer’s disease (AD). However, the causal relationships between metabolism and AD are poorly understood. Objective:We aimed to investigate the causal association between circulating metabolites and risk of AD through two-sample Mendelian randomization (MR) approach. Methods:Genetic associations with 123 circulating metabolic traits were utilized as exposures. Summary statistics data from International Genomics of Alzheimer’s Project was used in primary analysis, including 21,982 AD cases and 41,944 controls. Validation was performed using family history of AD data from UK Biobank (27,696 cases of maternal AD, 14,338 cases of paternal AD, and 272,244 controls). We utilized inverse-variance weighted method as primary method. Results:We found significantly increased risks of developing AD per standard deviation increase in the levels of circulating ApoB (odd ratio[OR] = 3.18; 95% confidence interval[CI]: 1.52–6.66, p = 0.0022), glycoprotein acetyls (OR = 1.21; 95% CI: 1.05–1.39, p = 0.0093), total cholesterol (OR = 2.73; 95% CI: 1.41–5.30, p = 0.0030), and low-density lipoprotein (LDL) cholesterol (OR = 2.34; 95% CI: 1.53–3.57, p = 0.0001). Whereas glutamine (OR = 0.81; 95% CI: 0.71–0.92, p = 0.0011) were significantly associated with lower risk of AD. We also detected causal effects of several different composition of LDL fractions on increased AD risk, which has been verified in validation. However, we found no association between circulating high-density lipoprotein cholesterol and AD. Conclusion:Our findings suggest causal effects of circulating glycoprotein acetyls, ApoB, LDL cholesterol, and serum total cholesterol on higher risk of AD, whereas glutamine showed the protective effect.

Keywords: Alzheimer’s disease, cholesterol, mendelian randomization, metabolite

DOI: 10.3233/JAD-220050

Journal: Journal of Alzheimer's Disease, vol. 87, no. 1, pp. 463-477, 2022